Tutorials
Some useful and excellent tutorials/books/links. This is part of Xin Zhang’s repository Marked-Tutorials.
Python (Basic)
Python (Advanced)
- dask-tutorial
- ams-ml-python-course
- fastai
- Dive into Deep Learning
- Scipy 2018 scikit-learn tutorial
- Introduction to Machine Learning for Coders
- Interpretable Machine Learning
- Practical Deep Learning For Coders
- Python Machine Learning (2nd edition)
- Neural Networks and Deep Learning
- Introduction to Artificial Neural Networks and Deep Learning
- Deep Learning papers reading roadmap
- STAT 479: Machine Learning (FS 2018)
- 100 Days of ML Coding
- practicalAI
Useful Python library
Fortran
Julia
Languages
Shell
Docker
Git
Coding/Learning Group
LaTeX
Math
Atmosphere
- Sever Weather
- AMS_2019 (recorded)
- Atmospheric Science (2nd Edition)
- An Introduction to Dynamic Meteorology (5th Edition)
- A First Course in Atmospheric Thermodynamics
- A Short Course in Cloud Physics (3rd Edition)
- Microphysics of Clouds and Precipitation
- Physics and Chemistry of Clouds
- Physical Processes in Clouds and Cloud Modeling
- Severe Convective Storms and Tornadoes
- The Remote Sensing of Tropospheric Composition from Space
- Differential Optical Absorption Spectroscopy
- Inverse Methods for Atmospheric Sounding
Atmospheric Model
Satellite
Radar
Guitar
Design
- Photopea
- Chevereto-Free
- Lychee
- Photoshop One-on-one
- Illustrator One-on-one